Multi-sensor technology for B-spline modelling and deformation analysis of composite structures

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Hao Yang
  • Xiangyang Xu

Organisationseinheiten

Externe Organisationen

  • Jiangsu University of Science and Technology (JUST)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer111000
FachzeitschriftComposite Structures
Jahrgang224
Frühes Online-Datum23 Mai 2019
PublikationsstatusVeröffentlicht - 15 Sept. 2019

Abstract

High-accuracy deformation analysis of composite structures is an important topic in the field of civil engineering and increasing attention is given to geometry-based analytical model, such as B-splines where the determination of the parameter values has a great influence on the accuracy of the B-spline approximation. In this paper, B-spline approximation is carried out with point cloud data of an arch structure obtained with terrestrial laser scanner (TLS)and the parameter control point is investigated with the aid of laser tracker (LT)and corner cube reflectors (CCRs). We focused on the discussion about the influence factors of the optimal parameters, such as CCR uncertainty, curvature of object, and order of the B-spline. The innovation of this paper is that we adopt LT to optimize the parameters of B-spline fitting, and the results are compared and verified by Bayesian information criterion.

ASJC Scopus Sachgebiete

Zitieren

Multi-sensor technology for B-spline modelling and deformation analysis of composite structures. / Yang, Hao; Xu, Xiangyang.
in: Composite Structures, Jahrgang 224, 111000, 15.09.2019.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Yang H, Xu X. Multi-sensor technology for B-spline modelling and deformation analysis of composite structures. Composite Structures. 2019 Sep 15;224:111000. Epub 2019 Mai 23. doi: 10.1016/j.compstruct.2019.111000
Download
@article{4608766bdf2441feaf07f31f1abdadaa,
title = "Multi-sensor technology for B-spline modelling and deformation analysis of composite structures",
abstract = "High-accuracy deformation analysis of composite structures is an important topic in the field of civil engineering and increasing attention is given to geometry-based analytical model, such as B-splines where the determination of the parameter values has a great influence on the accuracy of the B-spline approximation. In this paper, B-spline approximation is carried out with point cloud data of an arch structure obtained with terrestrial laser scanner (TLS)and the parameter control point is investigated with the aid of laser tracker (LT)and corner cube reflectors (CCRs). We focused on the discussion about the influence factors of the optimal parameters, such as CCR uncertainty, curvature of object, and order of the B-spline. The innovation of this paper is that we adopt LT to optimize the parameters of B-spline fitting, and the results are compared and verified by Bayesian information criterion.",
keywords = "B-spline approximation, Bayesian information criterion, Multi-sensor technology, Point cloud data, Terrestrial laser scanning",
author = "Hao Yang and Xiangyang Xu",
note = "Funding information: The publication of this article was funded by the Open Access Fund of the Leibniz Universitaet Hannover and also supported by Natural Science Foundation of Jiangsu Province (no. BK20160558 ).",
year = "2019",
month = sep,
day = "15",
doi = "10.1016/j.compstruct.2019.111000",
language = "English",
volume = "224",
journal = "Composite Structures",
issn = "0263-8223",
publisher = "Elsevier BV",

}

Download

TY - JOUR

T1 - Multi-sensor technology for B-spline modelling and deformation analysis of composite structures

AU - Yang, Hao

AU - Xu, Xiangyang

N1 - Funding information: The publication of this article was funded by the Open Access Fund of the Leibniz Universitaet Hannover and also supported by Natural Science Foundation of Jiangsu Province (no. BK20160558 ).

PY - 2019/9/15

Y1 - 2019/9/15

N2 - High-accuracy deformation analysis of composite structures is an important topic in the field of civil engineering and increasing attention is given to geometry-based analytical model, such as B-splines where the determination of the parameter values has a great influence on the accuracy of the B-spline approximation. In this paper, B-spline approximation is carried out with point cloud data of an arch structure obtained with terrestrial laser scanner (TLS)and the parameter control point is investigated with the aid of laser tracker (LT)and corner cube reflectors (CCRs). We focused on the discussion about the influence factors of the optimal parameters, such as CCR uncertainty, curvature of object, and order of the B-spline. The innovation of this paper is that we adopt LT to optimize the parameters of B-spline fitting, and the results are compared and verified by Bayesian information criterion.

AB - High-accuracy deformation analysis of composite structures is an important topic in the field of civil engineering and increasing attention is given to geometry-based analytical model, such as B-splines where the determination of the parameter values has a great influence on the accuracy of the B-spline approximation. In this paper, B-spline approximation is carried out with point cloud data of an arch structure obtained with terrestrial laser scanner (TLS)and the parameter control point is investigated with the aid of laser tracker (LT)and corner cube reflectors (CCRs). We focused on the discussion about the influence factors of the optimal parameters, such as CCR uncertainty, curvature of object, and order of the B-spline. The innovation of this paper is that we adopt LT to optimize the parameters of B-spline fitting, and the results are compared and verified by Bayesian information criterion.

KW - B-spline approximation

KW - Bayesian information criterion

KW - Multi-sensor technology

KW - Point cloud data

KW - Terrestrial laser scanning

UR - http://www.scopus.com/inward/record.url?scp=85066447947&partnerID=8YFLogxK

U2 - 10.1016/j.compstruct.2019.111000

DO - 10.1016/j.compstruct.2019.111000

M3 - Article

AN - SCOPUS:85066447947

VL - 224

JO - Composite Structures

JF - Composite Structures

SN - 0263-8223

M1 - 111000

ER -